diff --git a/bindings/kepler.gl-jupyter/js/package.json b/bindings/kepler.gl-jupyter/js/package.json index 97ad271cdc..dd33c74669 100644 --- a/bindings/kepler.gl-jupyter/js/package.json +++ b/bindings/kepler.gl-jupyter/js/package.json @@ -1,6 +1,6 @@ { "name": "keplergl-jupyter", - "version": "0.3.4", + "version": "0.3.5", "description": "This is a simple jupyter widget for kepler.gl, an advanced geo-spatial visualization tool, to render large-scale interactive maps.", "author": "Shan He", "license": "MIT", diff --git a/bindings/kepler.gl-jupyter/keplergl/_version.py b/bindings/kepler.gl-jupyter/keplergl/_version.py index e3d53d656c..4815710e77 100644 --- a/bindings/kepler.gl-jupyter/keplergl/_version.py +++ b/bindings/kepler.gl-jupyter/keplergl/_version.py @@ -1,7 +1,7 @@ # SPDX-License-Identifier: MIT # Copyright contributors to the kepler.gl project -version_info = (0, 3, 4, 'final', 0) +version_info = (0, 3, 5, 'final', 0) _specifier_ = {'alpha': 'a', 'beta': 'b', 'candidate': 'rc', 'final': ''} @@ -17,4 +17,4 @@ # # The major version needs to match that of the JS package. # Note: this follows the semver format, which is used to match the JS package version in keplergl-plugin.js -EXTENSION_SPEC_VERSION = '0.3.4' +EXTENSION_SPEC_VERSION = '0.3.5' diff --git a/bindings/kepler.gl-jupyter/keplergl/keplergl.py b/bindings/kepler.gl-jupyter/keplergl/keplergl.py index ce6fafef4e..2911d1fefc 100644 --- a/bindings/kepler.gl-jupyter/keplergl/keplergl.py +++ b/bindings/kepler.gl-jupyter/keplergl/keplergl.py @@ -221,14 +221,14 @@ def add_data(self, data, name="unnamed", use_arrow=False): if use_arrow: global g_use_arrow g_use_arrow = use_arrow - try: - gdf = geopandas.read_file(data, driver='GeoJSON') - copy.update({name: gdf}) - except Exception: - # if it fails, assume it is a csv string - # load csv string to a dataframe - df = pd.read_csv(data) - copy.update({name: df}) + try: + gdf = geopandas.read_file(data, driver='GeoJSON') + copy.update({name: gdf}) + except Exception: + # if it fails, assume it is a csv string + # load csv string to a dataframe + df = pd.read_csv(data) + copy.update({name: df}) self.data = copy